GitLab

* Add copied from statements for image processors

* Move out rescale and normalize to base image processor

* Remove rescale and normalize from vit (post rebase)

* Update docstrings and tidy up

* PR comments

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add missing tokens

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* docs: ko: add_tensorflow_model.md

* feat: chatgpt draft

* fix: manual edits

* fix: manual edits

* fix: resolve suggestions

* fix: manual edits

* enable unit tests to run on third-party devcies other than CUDA and CPU.

* remove the modification that enabled ut on MPS

* control test on third-party device by env variable

* update

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Co-authored-by: statelesshz <jihuazhong1@huawei.com>

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Load else

* New approach

* Propagate

* Replace einsum with ops for tracing

* Fix comment

* [ASR Pipeline] Clarify return timestamps

* fix indentation

* fix ctc check

* fix ctc error message!

* fix test

* fix other test

* add new tests

* final comment

* Add attention mask and pad token warning to many of the models

* Remove changes under examples/research_projects

These files are not maintained by HG.

* Skip the warning check during torch.fx or JIT tracing

* Switch ordering for the warning and input shape assignment

This ordering is a little cleaner for some of the cases.

* Add missing line break in one of the files

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Register ModelOutput subclasses as supported torch.utils._pytree nodes

Fixes #25357 where DDP with static_graph=True does not sync gradients when calling backward() over tensors contained in ModelOutput subclasses

* Add test for torch pytree ModelOutput serialization and deserialization

* Add descriptive docstring to MinNewTokensLength

It addresses https://github.com/huggingface/transformers/issues/24783



* Refine the differences between `min_length` and `min_new_tokens`

* Remove extra line

* Remove extra arguments in generate

* Add a missing space
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Run the linter

* Add clarification comments

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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add mask2former fp16 support

* Clear consistency/quality issues

* Fix consistency/quality (2)

* Add integration test for mask2former (fp16 case)

* Fix code quality

* Add integration test for maskformer (fp16 case)

* Add integration test for oneformer (fp16 case)

* Remove slow decorator from fp16 tests

* Fix lint

* Remove usage of full inference and value checks for fp16

* Temporarily comment slow for {mask, mask2, one}former

* Add fp16 support to oneformer

* Revert "Temporarily comment slow for {mask, mask2, one}former"

This reverts commit e5371edabd301cf56079def0421a0a87df307cb0.

* Remove dtype conversion noop

* added benchmarks for compile

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* added more models

* added more models fr

* added visualizations

* minor fix

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/perf_torch_compile.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Added links to models and put charts side by side

* Added batch comparisons

* Added more comparisons

* Fix table

* Added link to wheel

* Update perf_torch_compile.md

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add Description And Example to Docstring

* make style corrections

* make style

* Doc Style Consistent With HF

* Apply make style

* Modify Docstring

* Edit Type in Docstring

* Feedback Incorporated

* Edit Docstring

* make style

* Post Review Changes

* Review Feedback Incorporated

* Styling

* Formatting

* make style

* pep8

chorse: adding new doc on train and val

* First draft

* Deal with progress bars

* Update src/transformers/utils/hub.py
Co-authored-by: Lucain <lucainp@gmail.com>

* Address review comments

* Forgot one

* Pin hf_hub

* Add argument for push all and fix tests

* Fix tests

* Address review comments

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Co-authored-by: Lucain <lucainp@gmail.com>

* fix

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Remove Marian hack

* pytorch examples

* pytorch mim no trainer

* cookiecutter

* flax examples

* missed line in pytorch run_glue

* tensorflow examples

* tensorflow run_clip

* tensorflow run_mlm

* tensorflow run_ner

* tensorflow run_clm

* pytorch example from_configs

* pytorch no trainer examples

* Revert "tensorflow run_clip"

This reverts commit 261f86ac1f1c9e05dd3fd0291e1a1f8e573781d5.

* fix: duplicated argument

* Loosen output shape restrictions on GPT-style models

* Use more self-explanatory variables

* Revert "Use more self-explanatory variables"

This reverts commit 5fd9ab39119558b7e750f61aa4a19014dccc5ed5.

* Generalize CFG to allow for positive prompts

* Add documentation, fix the correct class

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* docs: ko: perf_infer_gpu_one

* feat: chatgpt draft

* fix: manual edits

* fix: manual edits

* fix: resolve suggestions
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: TaeYupNoh <107118671+TaeYupNoh@users.noreply.github.com>

* fix: resolve suggestions

* fix: resolve suggestions
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: TaeYupNoh <107118671+TaeYupNoh@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Remove jnp.DeviceArray since it is deprecated.

* Replace all instances of jnp.DeviceArray with jax.Array

* Update src/transformers/models/bert/modeling_flax_bert.py

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Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Clean doc toc check and make doctest list better

* Add to Makefile

* temp

* update

* update

* update

* small dim

* small dim

* small dim

* fix

* update

* fix

* fix

* fix

* fix

* fix

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Document check copies better and add tests

* Include header in check for copies

* Manual fixes

* Try autofix

* Fixes

* Clean tests

* Finalize doc

* Remove debug print

* More fixes

* Deal better with nested configs

* Fixes

* More fixes

* Fix last test

* Clean up existing configs

* Remove hack in MPT Config

* Update src/transformers/configuration_utils.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Fix setting a nested config via dict in the kwargs

* Adapt common test

* Add test for nested config load with dict

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Add offline mode for agents

* Disable second check too

The former spelling is deprecated and has been discouraged for a
while. The latter spelling seems to be more common in this project
anyway, so this change ought to be safe.

Fixes https://github.com/huggingface/transformers/issues/25283